Validate Resonance Gravity Framework

I have developed a resonance-based model of gravity—Structured Collapse Gravity (SCG)—and run it against public LIGO datasets. All raw material is ready: the data pulls, processing scripts, derived waveforms, and a concise packet of notes that map every step from the first equation to the final plot. The science is promising; the presentation is not. I now need a fresh set of expert eyes to take this work from “interesting mess” to a defensible study.

Where your focus lies
• First, independently verify the existing results. You will have direct access to every CSV, notebook, and log file so you can replicate the signal extractions exactly as I did—or show me where they break.
• While the data pipelines are fairly clean, the mathematical core needs tightening. Most of the model hinges on a chain of integral equations, so I want a careful audit of the derivations, assumptions, and boundary conditions.
• Once the math is solid and the figures reproduce without surprises, help me reorganize the material into a narrative suitable for peer review—introduction, methods, results, discussion, references, and any supplemental Jupyter notebooks.

Typical toolset
Python (NumPy, SciPy, matplotlib, PyCBC), a bit of MATLAB for legacy scripts, LaTeX for the manuscript, and Git for version control. If you prefer Mathematica or Julia for integral work, that’s fine as long as you document the workflow.

Acceptance criteria
1. Reproducible verification notebook showing the SCG signal extraction on LIGO open data with clear comments.
2. Annotated derivation file confirming or correcting every integral equation.
3. Clean, well-ordered manuscript draft (LaTeX) with figures linked to their generating code.

If untangling speculative physics, crunching gravitational-wave data, and shaping it into a publishable paper sounds rewarding, I’d love to collaborate.